Mike Babyak wrote:
Hi All,
I have a quick question about using plot.Predict now that the rms package
uses lattice. I'd like to add tick marks along the regression line, which
is given by data=llist(variablename) in the plot call. The ticks show up
fine, but I'd like to alter the color. I know the ticks are produced by
scat1d, but after spending a fair bit of time going through documentation,
it still isn't clear to me how to do this in the context of lattice.
Guidance would be greatly appreciated.
Thanks,
Mike Babyak
Duke University Medical Center
My code using R 2.10.1/windows XP
myx<-c(1,2,3,4)
myy<-c(1,2,3,5)
library(rms)
d<-datadist(myx)
options(datadist="d")
myfit<-ols(myy~myx,x=T,y=T)
p1<-Predict(myfit,myx =.)
library(lattice)
#change line to black
line <- trellis.par.get("plot.line")
line$col <- 1
trellis.par.set("plot.line", line)
plot(p1, data=llist(myx),col.fill="lightgray", lwd=1.5)
That's a good request. I've added a new argument scat1d.opts to
plot.Predict in rms. Default is list(frac=0.025, lwd=0.3) with col
computed. If you specify col inside the list, it will be used.
source('http://biostat.mc.vanderbilt.edu/tmp/plot.Predict.s') to get the
new version.
Frank
--
Frank E Harrell Jr Professor and Chairman School of Medicine
Department of Biostatistics Vanderbilt University
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